BCA in Data Analytics at PDM University - Course, Fees, Admission, Seats, Syllabus

| **Details** | **Information** | | | | | Duration | The course lasts for a period of 3 years. | | Level | This is a course. | | Fees | The tuition fees may vary,. It's advisable to check the official website for the latest information. | | Study Mode | Students can opt for full time study. | | Type of Institute | It is an institution. | Please note that the tuition fees can differ depending on factors like your status, available scholarships and any changes in the universitys fee structure. For up, to date information we recommend visiting PDM Universitys official website or contacting their admissions office directly.

As of my last update in April 2023, I don't have access to real-time databases or specific university course syllabi, including PDM University's BCA in Data Analytics. However, I can provide you with a general outline of what a BCA in Data Analytics program might include, based on common subjects and topics covered in such courses. For the most accurate and up-to-date syllabus, please consult PDM University's official website or contact their academic department directly. Below is a hypothetical syllabus outline in a single-line HTML table format:

Semester	Subjects
Semester 1	Introduction to Data Analytics, Mathematics for Computer Science, Programming Fundamentals using Python, English Communication, Environmental Studies
Semester 2	Database Management Systems, Data Structures, Advanced Python Programming, Probability and Statistics, Organizational Behavior
Semester 3	Operating Systems, Object-Oriented Programming using Java, Introduction to Algorithms, Business Intelligence, Discrete Mathematics
Semester 4	Machine Learning, Big Data Analytics, Web Technologies, Financial Accounting, Elective 1 (e.g., Cloud Computing, IoT Basics)
Semester 5	Data Visualization, Data Mining, Research Methodology, Elective 2 (e.g., Advanced Database Management Systems, Cyber Security Fundamentals), Project Work (Part 1)
Semester 6	Deep Learning, Artificial Intelligence, Elective 3 (e.g., Blockchain Technology, Mobile Application Development), Project Work (Part 2), Internship

This table is a simplified representation and should be used as a general guide. Elective subjects can vary widely among institutions, and the specific structure of the program (including project work and internships) might differ. Always refer to the official curriculum provided by the university for the most accurate information.